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Mcd Demo MCP Server

@jspoelstra

Repository

Basic information

Category

AI & Agents

License

MIT license

Transports

stdio

Author

jspoelstra

About Mcd Demo MCP Server

Testing creation of simple MCP servers and integrating with LangChain agent

Mcd Demo MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcd-demo": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Mcd Demo MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is mcd-demo?

mcd-demo is a project for testing the creation of simple MCP (Model Context Protocol) servers and integrating them with a LangChain agent. It is aimed at developers experimenting with MCP server implementations and LangChain agent integration.

How to use mcd-demo?

Set up a Python virtual environment, install dependencies from requirements.txt, and configure environment variables for Azure OpenAI API key and endpoint. Then start the three MCP servers (weather_server.py, math_server.py, telemetry_server.py) in the background, optionally running the math server via Docker, and finally launch the agent with python agent.py.

Key features of mcd-demo

  • Demonstrates creation of simple MCP servers
  • Integrates MCP servers with a LangChain agent
  • Includes weather, math, and telemetry server examples
  • Supports running math server in a Docker container
  • Uses SSE transport for MCP server communication

Use cases of mcd-demo

  • Learning how to build and run MCP servers
  • Testing LangChain agent integration with multiple MCP services
  • Experimenting with MCP server deployment (native or Docker)
  • Prototyping multi-server MCP architectures

Frequently asked questions

1

What MCP servers are included?

Three servers: weather_server.py, math_server.py, and telemetry_server.py.

2

Can the math server be run in Docker?

Yes, you can build a Docker image with `make build` and run it with `make run-local`.

3

What environment variables are required?

`AZURE_OPENAI_API_KEY` and `AZURE_OPENAI_ENDPOINT` are required. Optionally, `MCP_MATH_URI` can be set to configure the math server URI.

4

How do I stop the MCP servers?

Use `pkill -9 -f <server_script.py>` on each server, e.g., `pkill -9 -f weather_server.py`.

5

Is there a .env file supported?

Yes, variables can be set in a `.env` file in the project root directory.

Comments

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